The three-step workflow
The lesson’s core message is simple: vibe coding works best when you separate thinking from building. One AI helps shape the instructions. The other turns them into software.
Step 1 — Brief ChatGPT on your app
Explain your app idea in normal language. You do not need technical terms. Describe what problem it solves, who it is for, and what should happen when someone uses it.
Step 2 — Take the prompt to Google AI Studio
Paste the structured prompt into the Build area in Google AI Studio. It will generate a live, interactive, browser-based app from the instructions you provide.
Step 3 — Test and iterate
If the first version is close but not quite right, return to ChatGPT, update the prompt, and rebuild. This loop is the heart of vibe coding.
Why two AIs are better than one
ChatGPT and Google AI Studio have different strengths. Used together, they cover each other’s weaknesses.
ChatGPT
Best for turning messy ideas into clear, structured briefs.
Google AI Studio
Best for taking a well-written brief and generating a usable interactive app.
Interactive prompt builder
This demo turns a plain-English idea into a more structured prompt in the spirit of the lesson. It helps show how ChatGPT can prepare instructions for Google AI Studio.
Generated Google AI Studio prompt
What can you build?
The lesson emphasises simple, focused tools that solve repetitive tasks. Choose an example to see how that idea can be framed.
Where this approach shines — and where it stops
Google AI Studio is ideal for self-contained browser tools. It is not the right fit for every kind of software.
Great fit
- Calculators and quote generators
- Trackers, schedules and content planners
- Checklists, reference tools and lookup tables
- Simple forms for intake and information capture
- Quick personal tools you can run in the browser
Not the right fit
- Apps that need large long-term data storage
- Software that must connect to external databases
- Complex multi-page platforms with many integrations
- Systems that depend on heavy automation across services
- Enterprise-scale products with persistent backend logic
Tips for getting better results
Be specific when briefing ChatGPT. Mention who the app is for, what problem it solves, the fields it needs, and any logic or calculations. Ask for a clean, simple interface that suits non-technical users.
Why rebuilding is often faster than patching
If your changes are substantial, it is often quicker to generate a fresh prompt and rebuild the app rather than trying to manually patch lots of little pieces. The workflow rewards clarity more than fiddly editing.
What the lesson ultimately teaches
You do not need to become a traditional coder to make useful software. You need clear thinking, a good brief, and the confidence to iterate.